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Architecture & Engineering of Intelligent Systems Researcher Internship
Here at Siemens, we take pride in enabling sustainable progress through technology. We do this through empowering customers by combining the real and digital worlds. Improving how we live, work, and move today and for the next generation! We know that the only way a business thrive is if our people are thriving. That's why we always put our people first. Our global, diverse team would be happy to support you and challenge you to grow in new ways.
Siemens Research & Predevelopment (RPD) is the central R&D department of Siemens and thus has a key role to shape the future of our products. RPD acts as a strategic partner to support the executive units of Siemens. In consequence the main research focus is on future technologies for industry, infrastructure, mobility, and healthcare. In this context, we are looking for an Intern that supports our Software Systems and Processes team in Princeton, NJ by researching and developing scalable intelligent systems using LLMs and semantic technologies.
Transform the everyday with us!
Are you passionate about pushing the boundaries of AI and software engineering? We're looking for an innovative PhD intern to join our team and contribute to a groundbreaking research project focused on advanced agentic AI software architectures and their dynamic capabilities.
Modern software systems are evolving rapidly, requiring components that can intelligently adapt, self-organize themselves to fulfill complex objectives. The challenge lies in enabling these intelligent software elements to dynamically orchestrate their behaviors and interactions based on stated intents, moving beyond today's more rigid, predefined structures. This role offers a unique opportunity to research and develop novel approaches that empower software architectures to dynamically adapt, ensuring repeatable and robust outcomes within specified constraints. You'll be at the forefront of leveraging advanced AI, including Large Language Models (LLMs), knowledge graphs, and other semantic technologies, to create the next generation of flexible and intelligent industrial software systems.
The internship provides a unique experience to contribute to innovative industrial applications while mentored by experienced professionals in an international setting.
This role is on-site in Princeton, NJ, for a hands-on and collaborative experience, however remote candidates may be considered. The position is a full-time role for at least 3 months with the possibility of extension.
Key Responsibilities

• Conduct cutting-edge research into the principles and mechanisms for AI-driven self-evolution and dynamic composition within complex industrial software systems.

• Develop and evaluate novel algorithms and frameworks that enable software components to dynamically evolve, adapt, and orchestrate themselves based on stated user needs and objectives.

• Design innovative AI-powered approaches to solve industrial use-cases based on consultation with domain experts and research advisors.

• Design and implement proof-of-concept prototypes and corresponding experiments to demonstrate feasibility and effectiveness in industrial contexts.

• Investigate methods and strategies to ensure repeatability and determinism in the outcomes of AI-driven self-evolving software systems.

• Collaborate closely with the research team to define project milestones, analyze results, and contribute to the overall research agenda.

• Document research findings thoroughly, contribute to scientific publications, and present results at internal and external forums.

Basic Qualifications

• Currently enrolled in a PhD program in Computer Science, Artificial Intelligence, Software Engineering, or a closely related technical field.

• 3+ year(s) Foundational knowledge and research experience in Artificial Intelligence, Machine Learning, GenAI, or Software Engineering.

• 3+ year(s) Hands-on experience with Python and ML frameworks (e.g., Pytorch, HF transformers or similar).

• 1+ year(s) Hands-on experience with semantic technologies, knowledge graphs, ontology engineering, or symbolic AI.

• 1+ year(s) Hands-on experience with agentic software engineering tools & systems (GitHub Copilot, Claude Code, Codex).

• Strong grasp of software architecture & software engineering principles.

• Demonstrated ability to conduct independent research, critically analyze complex problems, and propose innovative solutions.

• Proficient in English both written and verbal.

• The position requires the person to be in the United States of America and hold a valid work permit in the US for the duration of the internship

Preferred Skills

• Excellent problem-solving skills and attention to detail.

• Capacity to work independently and manage time effectively.

• The ability to articulate complex technical concepts clearly.

• Aptitude for quickly learning and adopting new technologies and frameworks.

• Prior research experience in AI, distributed systems, or autonomous systems, demonstrated through academic publications, thesis work, or significant project contributions.

• 1+ year(s) Understanding of microservice architectures, cloud-native principles, and distributed computing concepts.

• 1+ year(s) Advanced knowledge of transformer-based models, attention mechanisms, and the latest LLM architectures (e.g., GPT, BERT, encoder-decoder).

• 1+ year(s) Hands-on experience with Large or Small Language Models (LLMs / SLMs), Vision Language Models (VLMs), or Vision-Language-Action Models (VLAs), including fine-tuning, prompt engineering, or integration into system design.

• 1+ year(s) Hands-on experience with representation and semantic technologies (e.g., RDF, SPARQL, OWL, etc.).

• 1+ year(s) Hands-on experience with containerization technologies (e.g., Docker, Kubernetes) and major cloud platforms (e.g., Azure, AWS).

• 1+ year(s) Hands-on experience with AI Agentic frameworks and platforms (e.g., LangGraph, Semantic Kernel, NeMo).

• 1+ year(s) Hands-on experience with graph databases (e.g., Neo4j, AWS Neptune) and knowledge graph toolsets (e.g., Altair Graph Studio).

• Track record of contributing to research publications, open-source projects, or significant academic projects.

About Siemens:
We are a global technology company focused on industry, infrastructure, transport, and healthcare. From more resource-efficient factories, resilient supply chains, and smarter buildings and grids, to sustainable transportation as well as advanced healthcare, we create technology with purpose adding real value for customers.
Our Commitment to Equity and Inclusion in our Diverse Global Workforce:
We value your unique identity and perspective. We are fully committed to providing equitable opportunities and building a workplace that reflects the diversity of society, while ensuring that we attract the best talent based on qualifications, skills, and experiences. We welcome you to bring your authentic self and transform the everyday with us.
Protecting the environment, conserving our natural resources, fostering the health and performance of our people as well as safeguarding their working conditions are core to our social and business commitment at Siemens. They are an integral part of our Business Conduct Guidelines and our corporate strategy.
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You'll Benefit From
Siemens offers a variety of health and wellness benefits to our employees. Details regarding our benefits can be found here: https://www.benefitsquickstart.com/siemens/index.html
The pay range for this position is $32.00- $47.00 per hour. The actual wage offered may be lower or higher depending on budget and candidate experience, knowledge, skills, qualifications and premium geographic location.
Equal Employment Opportunity Statement
Siemens is an Equal Opportunity Employer encouraging inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to their race, color, creed, religion, national origin, citizenship status, ancestry, sex, age, physical or mental disability unrelated to ability, marital status, family responsibilities, pregnancy, genetic information, sexual orientation, gender expression, gender identity, transgender, sex stereotyping, order of protection status, protected veteran or military status, or an unfavorable discharge from military service, and other categories protected by federal, state or local law.
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